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GLM-5

GLM-5 is Zai’s new-generation flagship foundation model, designed for Agentic Engineering, capable of providing reliable productivity in complex system engineering and long-range Agent tasks. In terms of Coding and Agent capabilities, GLM-5 has achieved state-of-the-art (SOTA) performance in open source, with its usability in real programming scenarios approaching that of Claude Opus 4.5.

👁Vision🧠Reasoning🔧Tool calling⚡Caching
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Specifications

Context window200K tokens
Max output128K tokens
API typechat
AddedFeb 11, 2026
Model IDzai/GLM-5
Data retentionNo
Used for trainingNo
Provider location🇸🇬 Singapore
Privacy policyZ AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Z AI models overview.

Pricing

Input / 1M
$1.00
Output / 1M
$3.20
Cache write
—
Cache read / 1M
$0.20
Estimated cost
100K input + 10K output$0.13
1M input + 100K output$1.32
10M input + 1M output$13.20

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to zai/GLM-5.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="zai/GLM-5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Z AI models

GLM-5.1
200K ctx$1.40/1M
GLM-4.7
200K ctx$0.60/1M
GLM-4.5
131K ctx$0.60/1M
GLM-4.6
200K ctx$0.60/1M

Frequently asked questions

How much does GLM-5 cost?
GLM-5 is priced at $1.00 per million input tokens and $3.20 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of GLM-5?
GLM-5 has a context window of 200K tokens, with a maximum output of 128K tokens per response. That's roughly 267 words of input you can fit in a single prompt.
What can GLM-5 do?
GLM-5 supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use GLM-5 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "zai/GLM-5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access GLM-5 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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